Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Determining Event Durations: Models and Error Analysis NAACL 2018 Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement EMNLP 2018 DFKI-MLT System Description for the WMT18 Automatic Post-editing Task EMNLP 2018 Dialog Generation Using Multi-Turn Reasoning Neural Networks NAACL 2018 Diarization is Hard: Some Experiences and Lessons Learned for the JHU Team in the Inaugural DIHARD Challenge Interspeech 2018 DiCE: The Infinitely Differentiable Monte Carlo Estimator ICML 2018 DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018 Differentiable Compositional Kernel Learning for Gaussian Processes ICML 2018 Differentiable Dynamic Programming for Structured Prediction and Attention ICML 2018 Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors RSS 2018 Differentiable Submodular Maximization IJCAI 2018 Differential Equations for Modeling Asynchronous Algorithms IJCAI 2018 Differentially Private Bayesian Inference for Exponential Families NeurIPS 2018 Differentially Private Change-Point Detection NeurIPS 2018 Differentially Private Identity and Equivalence Testing of Discrete Distributions ICML 2018 Differentially Private Matrix Completion Revisited ICML 2018 Differentially Private Robust Low-Rank Approximation NeurIPS 2018 Differentially Private Testing of Identity and Closeness of Discrete Distributions NeurIPS 2018 Differential Privacy for Growing Databases NeurIPS 2018 Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance NeurIPS 2018 Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition IJCAI 2018 Dimensionality Reduction for Stationary Time Series via Stochastic Nonconvex Optimization NeurIPS 2018 Dimensionality's Blessing: Clustering Images by Underlying Distribution CVPR 2018 Dimensionally Tight Bounds for Second-Order Hamiltonian Monte Carlo NeurIPS 2018 Dimension-free Information Concentration via Exp-Concavity ALT 2018